Technology Governance

Boesl, Dominik B. O.; Bode, B.A. Martina

doi:10.1109/emergitech.2016.7737378

Cited by 10 publications

(2 citation statements)

References 3 publications

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“…"Robotic governance" is a concept that describes an attempt to establish a regulatory framework enabling the handling of issues related to intelligent and autonomous machines (Asaro et al, 2015). Robotic governance is intended to guide and govern processes and activities that range from research and development to the ways in which humans treat the LMs (Boesl and Bode, 2016;Boesl and Liepert, 2016). Related concepts include corporate governance, AI governance, ITgovernance and technology governance.…”

Section: Robotic Governancementioning

confidence: 99%

With Clear Intention—An Ethical Responsibility Model for Robot Governance

Rousi

2022

Front. Comput. Sci.

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There is much discussion about super artificial intelligence (AI) and autonomous machine learning (ML) systems, or learning machines (LM). Yet, the reality of thinking robotics still seems far on the horizon. It is one thing to define AI in light of human intelligence, citing the remoteness between ML and human intelligence, but another to understand issues of ethics, responsibility, and accountability in relation to the behavior of autonomous robotic systems within a human society. Due to the apparent gap between a society in which autonomous robots are a reality and present-day reality, many of the efforts placed on establishing robotic governance, and indeed, robot law fall outside the fields of valid scientific research. Work within this area has concentrated on manifestos, special interest groups and popular culture. This article takes a cognitive scientific perspective toward characterizing the nature of what true LMs would entail—i.e., intentionality and consciousness. It then proposes the Ethical Responsibility Model for Robot Governance (ER-RoboGov) as an initial platform or first iteration of a model for robot governance that takes the standpoint of LMs being conscious entities. The article utilizes past AI governance model research to map out the key factors of governance from the perspective of autonomous machine learning systems.

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Section: Robotic Governancementioning

confidence: 99%

With Clear Intention—An Ethical Responsibility Model for Robot Governance

Rousi

2022

Front. Comput. Sci.

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“…We also introduce the term 'megatrend' as a closely related concept. Naisbitt and Boesl-Bode define megatrends as large transformative social, environmental, economic, political, and technological changes that could dramatically alter daily life [14,15].…”

Section: Introductionmentioning

confidence: 99%

Performance measurement of ESG-themed megatrend investments in global equity markets using pure factor portfolios methodology

Naffa

Fain

2020

PLoS ONE

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ESG factors are becoming mainstream in portfolio investment strategies, attracting increasing fund inflows from investors who are aligning their investment values to Sustainable Development Goals (SDG) declared by the United Nations Principles for Responsible Investments. Do investors sacrifice return for pursuing ESG-aligned megatrend goals? The study analyses the risk-adjusted financial performance of ESG-themed megatrend investment strategies in global equity markets. The analysis covers nine themes for the period 2015–2019: environmental megatrends covering energy efficiency, food security, and water scarcity; social megatrends covering ageing, millennials, and urbanisation; governance megatrends covered by cybersecurity, disruptive technologies, and robotics. We construct megatrend factor portfolios based on signalling theory and formulate a novel measure for stock megatrend exposure (MTE), based on the relative fund flows into the corresponding thematic ETFs. We apply pure factor portfolios methodology based on constrained WLS cross-sectional regressions to calculate Fama-French factor returns. Time-series regression rests on the generalised method of moments estimator (GMM) that uses robust distance instruments. Our findings show that each environmental megatrend, as well as the disruptive technologies megatrend, yielded positive and significant alphas relative to the passive strategy, although this outperformance becomes statistically insignificant in the Fama-French 5-factor model context. The important result is that most of the megatrend factor portfolios yielded significant non-negative alphas; which supports our assumption that megatrend investing strategy promotes SDGs while not sacrificing returns, even when accounting for transaction costs up to 50bps/annum. Higher transaction costs, as is the case for some of these ETFs with expense ratios reaching 80-100bps, may be an indication of two things: ESG-themed megatrend investors were willing to sacrifice ca. 30-50bps of annual return to remain aligned with sustainability targets, or that expense ratio may well decline in the future.

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A Theoretical Approximation to Artificial Intelligence as an Autopoietic System

Wiesmüller

2023

Relational Economics and Organization Governance

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Technology Governance

Cited by 10 publications

References 3 publications

With Clear Intention—An Ethical Responsibility Model for Robot Governance

With Clear Intention—An Ethical Responsibility Model for Robot Governance

Performance measurement of ESG-themed megatrend investments in global equity markets using pure factor portfolios methodology

A Theoretical Approximation to Artificial Intelligence as an Autopoietic System

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